Latest Articles for Optical Character Recognition

Qalam offers improved recognition for Arabic text and handwriting.

A system that improves information retrieval by clarifying user questions.

This research presents a CNN model for recognizing mathematical expressions' base and exponent from images.

A new framework simplifies making player-specific highlight clips from soccer videos.

A new method enhances scene text retrieval beyond traditional systems.

Automated systems enhance clarity and accuracy of resource tables in scientific papers.

This article examines how synthetic data boosts OCR error correction performance.

Target prompting enhances precision in extracting information from document images.

Innovative project aims to recognize handwritten Syriac texts through a new dataset.

SynthDoc creates synthetic documents for machine learning in document reading.

A new model improves Urdu text recognition for various applications.

A new method improves parsing of complex historical documents.

This project enhances text correction in Bulgarian historical documents using OCR technology.

PdfTable streamlines table extraction from PDFs, overcoming existing tool limitations.

FullAnno enhances image annotations for better multimodal model training.

Keeping maps accurate is essential for users and businesses.

Learn how technology is decoding Arabic handwritten text into digital form.

PatchFinder speeds up the process of extracting data from noisy scanned documents.

CC-OCR sets a new standard for evaluating text recognition systems.

A new dataset aims to simplify extracting financial data from tables.

Discover how POINTS1.5 enhances image and text processing capabilities.

DeepSeek-VL2 merges visual and text data for smarter AI interactions.

A new method enhances OCR accuracy for underrepresented languages.

Exploring OCR's challenges and potential in recognizing low-resource languages.

Learn how LMRPA transforms business operations through smart automation.

A new system streamlines document management with speed and accuracy.

A new system automates immigration paperwork, speeding up data extraction and improving accuracy.